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#!/usr/bin/env python
# Created by "Thieu" at 13:24, 25/05/2022 ----------%
# Email: nguyenthieu2102@gmail.com %
# Github: https://github.com/thieu1995 %
# --------------------------------------------------%
import setuptools
import os
import re
with open("requirements.txt") as f:
REQUIREMENTS = f.read().splitlines()
def get_version():
init_path = os.path.join(os.path.dirname(__file__), 'intelelm', '__init__.py')
with open(init_path, 'r', encoding='utf-8') as f:
init_content = f.read()
version_match = re.search(r"^__version__ = ['\"]([^'\"]+)['\"]", init_content, re.M)
if version_match:
return version_match.group(1)
raise RuntimeError("Unable to find version string.")
def readme():
with open('README.md', encoding='utf-8') as f:
res = f.read()
return res
setuptools.setup(
name="intelelm",
version=get_version(),
author="Thieu",
author_email="nguyenthieu2102@gmail.com",
description="IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine",
long_description=readme(),
long_description_content_type="text/markdown",
keywords=["extreme learning machine", "machine learning", "artificial intelligence",
" deep learning", "neural networks", "single hidden layer network", "metaheuristic-based ELM"
"random projection", "kernel methods", "feature extraction", "classification", "regression",
"supervised learning", "optimization algorithms", "Kernel ELM", "Cross-validation"
"Genetic algorithm (GA)", "Particle swarm optimization (PSO)", "Ant colony optimization (ACO)",
"Differential evolution (DE)", "Simulated annealing", "Grey wolf optimizer (GWO)", "Whale Optimization Algorithm (WOA)",
"confusion matrix", "recall", "precision", "accuracy", "K-Nearest Neighbors", "random forest",
"support vector machine", "scikit-learn models", "estimator", "Robust machine learning",
"shallow neural network", "nature-inspired ELM", "ELM network",
"Convergence analysis", "Search space exploration", "Local search", "Computational intelligence", "Robust optimization",
"Performance analysis", "Intelligent optimization", "Simulations"],
url="https://github.com/thieu1995/intelelm",
project_urls={
'Documentation': 'https://intelelm.readthedocs.io/',
'Source Code': 'https://github.com/thieu1995/intelelm',
'Bug Tracker': 'https://github.com/thieu1995/intelelm/issues',
'Change Log': 'https://github.com/thieu1995/intelelm/blob/master/ChangeLog.md',
'Forum': 'https://t.me/+fRVCJGuGJg1mNDg1',
},
packages=setuptools.find_packages(exclude=['tests*', 'examples*']),
include_package_data=True,
license="GPLv3",
classifiers=[
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Information Technology",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
"Natural Language :: English",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Topic :: System :: Benchmark",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Mathematics",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Information Analysis",
"Topic :: Scientific/Engineering :: Visualization",
"Topic :: Scientific/Engineering :: Bio-Informatics",
"Topic :: Software Development :: Build Tools",
"Topic :: Software Development :: Libraries",
"Topic :: Software Development :: Libraries :: Python Modules",
"Topic :: Utilities",
],
install_requires=REQUIREMENTS,
extras_require={
"dev": ["pytest==7.1.2", "pytest-cov==4.0.0", "flake8>=4.0.1"],
},
python_requires='>=3.8',
)